Mobile Applications and Web Services Part II Prof. Klaus Moessner, Dr Payam Barnaghi Institute for Communication Systems (ICS) Electronic Engineering Department University of Surrey Spring Semester 2015 1
Module Aims −The aim of the course is to introduce the basics of mobile Web service development, to discuss Web service technologies and how they are building into and are integrated in distributed mobile and Web applications. −The second aim is introducing the mechanisms for representing, manipulating and querying structured data (XML) and semantic data (RDF/s, OWL), it also includes data mining techniques and the concept of connected services. −Related toolkits and applications and their use will be discussed. 2
Mobile technologies in health Source: The Economist 3
Wearable technologies Source: The Economist 4
Mobile technologies in Business 5
Communication Networks − There are large volumes of data, − Functionalities to process data, and capabilities to interact with entities in the physical and virtual worlds. (services) − Communication Network: − AT&T network as an example 1 − Currently carries 18. 7 Petabytes of data traffic on an average business day (PB = 10 ^15 bytes), − Nearly 5 Billion calls per day. − Cisco Prediction 2: − 295 Petabyte per month (mobile-to-mobile communications) by 2015, − By 2020 this will be 1000 more compared with 2010. − Challenges include volume, volatility, complexity, reliability, privacy, security, and processing. 1 source: 2 source: Mahmoud Daneshmand, AT&T, Intelligent Network Operations and Management, Keynote Talk, IEEE ISCC 2011. Do. Co. Mo and Huawei. 6
Networks of the Future - Challenges − Large-scale networks, huge volumes of data, dynamic and sometimes unreliable resources; − more dynamic and transient resources and subject to quality changes − scalability of the solutions − heterogeneity and interoperability issues - more devices are contented, more diversity − express-ability and extensibility of semantics and metadata − more autonomous processes (integration, aggregation, filtering, . . . ) are required − management of the resources − scarcity of: bandwidth, power, energy, addressing and naming schemes, and operation cost. 7
Future Networks 8 88
“Thing” connected to the internet Source: CISCO 9 9
Big Data Image courtesy: the Economist 10
Large number of services 11 Image courtesy: FTW Forschungszentrum Telekommunikation Wien
But it is not just about volume … but also Dynamicity and Quality: How can we efficiently deal with: - Large amounts of (heterogeneous/distributed) service? Both static and dynamic data/service? In a re-usable, modular, flexible way? Integrate different types of services Provide quality-aware and context-aware solutions Adapted from: M. Hauswirth. A. Mileo, Insight, National University of Ireland, Galway.
"intelligence is becoming ambient" Satya Nadella, Microsoft CEO 13
Services - We need mobile and pervasive services that are: - Flexible Interoperable Reliable Discoverable Support different Qo. S requirements … - To support future data/functionality requirements information communication networks 14
Services on the Web − Web Services provide data and services to other applications. − Thee applications access Web Services via standard Web Formats (HTTP, HTML, XML, and SOAP), with no need to know how the Web Service itself is implemented. − Web services provide a standard means of interoperating between different software applications, running on a variety of platforms and/or frameworks. 15
The role of metadata − semantic tagging − (machine-interpretable) data annotation and resource descriptions − re-usable descriptions and vocabularies − resource description frameworks − structured data, structured query 16
Motivations- reusability and cost Source: Jerry King @ http: //www. jerryking. com 17
Motivations- maintainability Source: gettyimages 18
Motivations- interoperability Image: courtesy: Economist 19
Traditional C/S vs. Web Services source: Web Services Overview, Sang Shinn, javapassion. com 20
Cloud-based services Image courtesy: Economist 21
Cloud Computing Services 22 Image courtesy , IBM, http: //www. ibm. com/cloud-computing/us/en/what-is-cloud-computing. html
Mobile services Image courtesy: Economist 23
Location-based services Image courtesy: Economist 24
Topics − Introduction to Semantic Web and metadata frameworks − Semantic web − Metadata − Ontologies and common vocabularies − RDF − Ontology languages, ontology design and management and Linked-data − What is an ontology? − Ontology representation − Web Ontology Language (OWL) − Ontology design and engineering − Linked Data − RDF/JSON, Turtle 25
Topics − Ontology Querying − SPARQL query language − Semantic Web Services and Service Platforms − Semantic Web services − Service modelling − Service composition and business logic − Cloud-based data and services − Software-as-a-service (Saa. S) − Operator platforms and Network-as-a-Service (Naa. S) 26
Topics − Mobile Web Services − RESTful services − Service evolution and delivery in mobile communication systems − Wireless Application Protocols − Constrained Application Protocol (Co. AP) − Location-based services − Examples and Applications 27
Questions? 28
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